Evidence map›Paper›PMID 35822264›Full record

ArticleEndocrinology, diabetes & metabolism2022

MODY probability calculator utility in individuals' selection for genetic testing: Its accuracy and performance.

Tiago da Silva Santos, Liliana Fonseca, Sílvia Santos Monteiro, Diana Borges Duarte, Ana Martins Lopes, André Couto de Carvalho, Maria João Oliveira, Teresa Borges, Francisco Laranjeira, María Luz Couce and 1 more

Open access · goldAbstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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    Observational
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  12. Diagnostic pitfalls in a young adult with new diabetes.Endocrinology, diabetes & metabolism case reports · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 2 countries.

Tiago da Silva SantosDivision of Endocrinology, Diabetes and Metabolism, Hospital de Santo António - Centro Hospitalar e Universitário do Porto, Porto, Portugal.ORCID 0000-0001-8729-2787
Liliana FonsecaDivision of Endocrinology, Diabetes and Metabolism, Hospital de Santo António - Centro Hospitalar e Universitário do Porto, Porto, Portugal.ORCID 0000-0002-3318-8308
Sílvia Santos MonteiroDivision of Endocrinology, Diabetes and Metabolism, Hospital de Santo António - Centro Hospitalar e Universitário do Porto, Porto, Portugal.
Diana Borges DuarteDivision of Endocrinology, Diabetes and Metabolism, Hospital de Santo António - Centro Hospitalar e Universitário do Porto, Porto, Portugal.ORCID 0000-0001-8910-6888
Ana Martins LopesDivision of Endocrinology, Diabetes and Metabolism, Hospital de Santo António - Centro Hospitalar e Universitário do Porto, Porto, Portugal.
André Couto de CarvalhoDivision of Endocrinology, Diabetes and Metabolism, Hospital de Santo António - Centro Hospitalar e Universitário do Porto, Porto, Portugal.
Maria João OliveiraDivision of Pediatric Endocrinology, Department of Pediatrics, Centro Materno-Infantil do Norte - Centro Hospitalar e Universitário do Porto, Porto, Portugal.
Teresa BorgesDivision of Pediatric Endocrinology, Department of Pediatrics, Centro Materno-Infantil do Norte - Centro Hospitalar e Universitário do Porto, Porto, Portugal.
Francisco LaranjeiraCentro de Genética Médica Jacinto de Magalhães (CHUPorto), Porto, Portugal.
María Luz CouceUniversity Clinical Hospital of Santiago de Compostela, IDIS, CIBERER, MetabERN, Santiago de Compostela, Spain.
Maria Helena CardosoDivision of Endocrinology, Diabetes and Metabolism, Hospital de Santo António - Centro Hospitalar e Universitário do Porto, Porto, Portugal.
Hospital de Santo António · PTCentro Hospitalar do Porto · PTUniversidade de Santiago de Compostela · ESUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMODY probability calculator (MPC) represents an easy-to-use tool developed by Exeter University to help clinicians prioritize which individuals should be oriented to genetic testing. We aimed to assess the utility of MPC in a Portuguese cohort with early-onset monogenic diabetes.

methodsThis single-centre retrospective study enrolled 132 participants submitted to genetic testing between 2015 and 2020. Automatic sequencing and, in case of initial negative results, generation sequencing were performed. MODY probability was calculated using the probability calculator available online. Positive and negative predictive values (PPV and NPV, respectively), accuracy, sensitivity and specificity of the calculator were determined for this cohort.

resultsSeventy-three individuals were included according to inclusion criteria: 20 glucokinase (GCK-MODY); 16 hepatocyte nuclear factor 1A (HNF1A-MODY); 2 hepatocyte nuclear factor 4A (HNF4A-MODY) and 35 DM individuals with no monogenic mutations found. The median probability score of MODY was significantly higher in monogenic diabetes-positive subgroup (75.5% vs. 24.2%, p < .001). The discriminative accuracy of the calculator, as expressed by area under the curve, was 75% (95% CI: 64%-85%). In our cohort, the best cut-off value for the MODY calculator was found to be 36%, with a PPV of 74.4%, NPV of 73.5% and corresponding sensitivity and specificity of 76.2% and 71.4%, respectively.

conclusionsIn a highly pre-selected group of probands qualified for genetic testing, the Exeter MODY probability calculator provided a useful tool in individuals' selection for genetic testing, with good discrimination ability under an optimal probability cut-off of 36%. Further geographical and population adjustments are warranted for general use.

Indexed as

Diabetes Mellitus, Type 2GlucokinaseHumansProbabilityRetrospective StudiesGlucokinasegenetic testingMODYprobability

Identifiers

PMID35822264
PMCPMC9471596
OpenAlexW4285395869

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.